Parameterization of traffic flow using Sammon-Fuzzy clustering

2009 ◽  
Author(s):  
Jaidev Deshpande ◽  
Ketan Dande ◽  
Varun Deshpande ◽  
Aditya Abhyankar
Keyword(s):  
Traffic Flow ◽  
Fuzzy Clustering

The Analysis of Traffic Flow State on Foggy Expressway Based on Fuzzy Clustering

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Jianjun Wang ◽  
Chenfeng Xie ◽  
Zhenwen Chang ◽  
Jingjing Zhang
Keyword(s):  
Traffic Flow ◽  
Fuzzy Clustering ◽  
Flow State

Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering

2009 ◽  
Author(s):  
Fatemeh Daneshfar ◽  
Javad RavanJamJah ◽  
Fathollah Mansoori ◽  
Hassan Bevrani ◽  
Bahram Zahir Azami
Keyword(s):  
Flow Control ◽  
Traffic Flow ◽  
Fuzzy Clustering ◽  
Urban Traffic ◽  
Multi Agent System ◽  
Two Stage ◽  
Agent System ◽  
Adaptive Fuzzy ◽  
Multi Agent

A New Approach of Predicting Traffic-Flow Based on Fuzzy Clustering and Wavelet Neutral Network

2014 ◽  
Vol 644-650 ◽  
pp. 2374-2377
Author(s):  
Jia Yang Li ◽  
Bei Lei Li ◽  
Dan Cheng
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Traffic Flow ◽  
Fuzzy Clustering ◽  
High Accuracy ◽  
Neutral Network ◽  
Network Technology ◽  
New Approach ◽  
Modeling Analysis ◽  
Neural Network Technology

In order to control and dispatch the traffic efficiently, predicting the traffic-flow has become more and more important. The artificial neural network technology has a great mapping ability on non-linear, it can deal with the complex problems through modeling analysis. This paper apply wavelet neural network to predict traffic-flow based on fuzzy clustering. From experience result, this approach predicted traffic-flow with high accuracy.

Study on Discrete Autonomous Traffic Flow Model with Zero-Order Hold

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lidong Zhang ◽  
Wenxing Zhu ◽  
Mengmeng Zhang ◽  
Cuijiao Chen
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Zero Order ◽  
Traffic Flow Model
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